4028 R Jobs - Page 46

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Principle Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects. Must Display Adaptability to changing circumstances, new technology, and shifting priorities. Nice-to-have skills Qualifications Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Job Title:Data Analyst Experience: 3-5 Years Location:Pune and Bangalore Job Description : For Data Analyst role please look for candidates only from Pune and Bangalore locations. It is observed that later candidates deny to shift cities and then its a challenge to take up next steps. Pyspark, Banking domain are MUST have for DA role. Atleast 3 years of experience is needed. Even for Tech BA roles resumes are not relevant. Guess Aditi has already spoken to you on this. Please look for candidates who can join in maximum 20 days.

As an AI Engineer, you will be responsible for designing, developing, and deploying machine learning models and AI-driven applications. Design, build, and implement machine learning and deep learning models for a variety of business applications.

platform and business data to drive strategic decisions and optimize performance. Conduct in-depth analysis of user behavior and engagement, translating insights into actionable recommendations for product, marketing, and customer service teams.Monitor KPIs, identify trends, and ensure data accuracy to improve service delivery and user experience across all verticals. Key Responsibilities Collect data from diverse sources. Clean and preprocess data to ensure accuracy, completeness, and integrity. Perform EDA to identify trends, patterns, and correlations within platform and business data. Utilize data visualization tools for effective data presentation. Conduct in-depth analysis of user behavior, engagement metrics, and customer feedback across platforms and verticals. Identify areas for improvement based on analysis. Inform strategic decision-making. Track performance over time. Identify opportunities for optimization. Collaborate with product development, marketing, and customer service teams. Translate data insights into actionable recommendations and initiatives for each business vertical. Monitor key performance indicators (KPIs) and metrics related to service delivery, user experience, and business performance across verticals. Employ supervised learning for predictive modeling (churn, behavior). Employ unsupervised learning for user segmentation. Use NLP for sentiment analysis and topic extraction from text. Explore deep learning for complex data like images or sequences, enhancing analytical capabilities and insights. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related field. 1-2 years experience in data analysis. Proficiency in SQL, Python or R, and data visualization tools. Strong analytical and problem-solving skills, with ability to translate data into actionable insights. Excellent communication and collaboration skills. Experience with EDA and KPI monitoring. Experience in Data Modeling would be an advantage.

Aragen is looking for Junior Research Associate to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.

KPMG India is looking for Assistant Manager - Mining Assistant Manager - Mining to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Mandatory Skill : Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Shift: Night shifts (EST) Description: Principal Data Analyst will be responsible for analyzing complex datasets, identifying opportunities for process improvements, and implementing automation solutions to streamline workflows. This role requires a deep understanding of data analytics, process automation tools, and excellent problem-solving skills. The ideal candidate will be proactive, detail-oriented, and able to work collaboratively with cross-functional teams to drive data-driven initiatives. What youll do: Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. Develop, implement, and maintain automated processes to improve data accuracy, efficiency,and reporting capabilities. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Design and build automated dashboards and reports to provide real-time insights to various departments. Utilize data visualization tools to present findings in a clear and actionable manner. Continuously monitor and refine automated processes to ensure optimal performance and scalability. Stay updated with industry trends and best practices in data analytics and process automation. Mentor and provide guidance to junior data analysts on best practices and technical skills. Who you are: A great communicator who can convey complex technical features in simple terms. Able to multitask and prioritize among several high-profile clients. Have a high degree of creativity, self-motivation, and drive. Eagerness to work in a startup team environment that will be rapidly changing. Enthusiastic team player with a penchant for collaboration and knowledge sharing. Willingness to do whatever it takes to get the job done. Nerdy but loveable. Data driven, technical, self-starting and curious. What you need: Bachelors or Masters degree in data science, Computer Science, Statistics, or a related field. Minimum of 3-4 years of experience in data analysis, with a focus on process automation. A minimum of 2 years of work experience in analytics (minimum of 1 year with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Experience with combining and consolidating disparate datasets in apps such as Big Query, Data Bricks Proficiency in programming languages such as Python, R, or SQL. Extensive experience with data visualization tools such as Tableau, Power BI or similar. Strong knowledge of process automation tools and platforms (e.g., Alteryx, UiPath, Microsoft Power Automate). Experience with database management systems (e.g., SQL Server, MySQL, PostgreSQL). Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced, collaborative environment. Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders. Experience with machine learning and predictive analytics is a plus.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Design Solutions and implement generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs Should be able to architect products/solutions using various cloud services from Azure, GCP and AWS Work on integrating the cloud GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc. Prompt Engineering for GenAI algorithm Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services Optimize existing generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Drive the team to build GenAI products/Solution Should have experience working in Agile methodology.

Job Purpose TechnipFMC Test Lab ensures reliability in subsea oil and gas products through rigorous testing to company and industry standards. This role supports the lab''s purpose along with prioritizing People, Safety, Quality, Delivery, and Cost. Roles and Responsibilities The Test Lab Production Manager will be responsible for our Hyderabad-based mechanical R&D Test lab team within Core Technologies. Team consists of Technicians, Test Engineers, and other support teams, which support complex multidiscipline product qualification and testing Manage personnel and associated P&C processes (Recruitment, IDP, Check-ins, etc) and manage the effective and efficient execution of resources and responsibilities Overall responsibility for safe operation of all Test lab activities. Ensure the team is appropriately trained in the operation of lab assets and ensure adherence to safety standards and protocols. Conduct regular safety audits and risk assessments to identify, mitigate and eliminate potential hazards Ensure safety and well-being of all individuals onsite by continuously promoting, developing, training and reaffirming TechnipFMC Health and Management Systems Responsible for managing the workload planning of the test lab, proposing and taking all necessary actions in order to proactively maintain the optimum operation of all lab assets Manage lab budgets (CAPEX and OPEX), including maintenance of assets and procurement of consumables /material Develops and monitors metrics to track the lab activities, objectives and performance through a visual management tool and monthly report out to all major stakeholders Foster strong collaborative relationships with all stakeholders and work transversely through other subsystems Ensure adequate participation and input in One Engineering Lab network strategic discussions and transverse initiatives Coordinate and work with other departments like supply chain, facilities, HSE, internal and external clients Analyze performance and look for improvements in productivity, quality and cost optimization Ensures the preservation of the equipment within the production unit Ensure compliance with all statutory norms (water, electricity, pollution etc) and all norms according to Factories Act for Test lab activities Ensure adequate participation and input in strategic discussions and governance work within One Engineering and Core Technologies leadership team Promote continuous improvement program, supporting SSI mindset Interpersonal Skills Ability to manage priorities, and navigate interpersonal interaction Strong ability to network internally and externally to develop strategies, develop relationships, and overcome barriers within organization. Ability to multitask and determine priorities in a fast paced and high-volume environment, establish deadlines and manage priorities for self and others. Ability to complete performance reviews, coach and mentor Strong eye for detail, good communication skills, integrity, adaptability, positive attitude, strategic thinking and good listening skills Ability to implement changes to functional and/or departmental processes to increase efficiency and productivity Ability to work in a team-oriented environment Pro-active attitude and flexible mindset Acute awareness of project timelines and the urgency necessary to meet customer needs and expectations Good communicator with ability to motivate, inspire and build an engaged and competent team Well experienced in working with other engineering disciplines and good understanding of processes related to communication of requirements Education Requirements Bachelors degree in Mechanical Engineering or equivalent At least 5 years of experience in production supervisory role Proficient in SAP and MS Office applications such as Word, Excel, PowerPoint Proficient in English Language MBA in Project or Operations management preffered Work Environment Spends 90% of time in Test lab office/floor. Exposed to possible shop hazards including high noise and heavy equipment when in those work areas Some travel as necessary visiting TechnipFMC regional offices, plants and existing & potential vendor facilities as required

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Perl Programming. Experience: 5-8 Years.

Job Summary: We are looking for a results-driven and detail-oriented Assistant Manager Advanced Analytics to support data-driven decision-making across key business functions. This role involves working closely with cross-functional teams to deliver actionable insights through advanced data analysis, statistical modeling, and data visualization. Key Responsibilities: Partner with business stakeholders to understand challenges and translate them into analytical solutions. Conduct advanced data analysis to identify trends, patterns, and opportunities for business growth and process optimization. Build dashboards, KPIs, and visualizations using tools like Power BI, Tableau, or Looker. Work on predictive modeling and statistical techniques to support initiatives in marketing, operations, finance, and product. Assist in building scalable data models and pipelines in collaboration with data engineering teams. Present analytical findings and recommendations clearly to senior management. Monitor performance metrics and drive continuous improvement based on insights. Required Skills: Strong analytical and problem-solving capabilities with business acumen. Proficiency in SQL and hands-on experience with Python or R for data analysis. Experience with data visualization tools such as Power BI , Tableau , or Qlik . Solid understanding of statistical modeling , predictive analytics , and machine learning techniques . Familiarity with cloud platforms (AWS, GCP, Azure) and working with large datasets. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelors/Masters degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Prior experience in retail, BFSI, e-commerce, or consumer tech analytics. Experience working with tools like Excel, Jupyter, Git , and collaborative platforms (e.g., Jira, Confluence).

AI Ops Engineer2 Job TitleAI Ops EngineerExperience35 yearsAbout the RoleWe are seeking a hands-on and proactive AI Ops Engineer to operationalize andsupport the deployment of large language model (LLM) workflows, including agentic AIapplications, across Marvells enterprise ecosystem.This role requires strong prompt engineering capabilities, the ability to triage AI pipelineissues, and a deep understanding of how LLM-based agents interact with tools,memory, and APIs. You will be expected to diagnose and remediate real-time problems,from prompt quality issues to model behavior anomalies. Key ResponsibilitiesDesign, fine-tune, and manage prompts for various LLM use cases tailored to Marvellsenterprise operations.Operate, monitor, and troubleshoot agentic AI applications, including identifying whetherissues stem from:Prompt quality or structureModel configuration or performanceTool usage, API failures, or memory/recall issuesBuild diagnostics and playbooks to triage LLM-driven failures, including handling fallbackstrategies, retries, or re-routing to human workflows.Collaborate with architects, ML engineers, and DevOps to optimize agent orchestrationacross platforms like LangGraph, CrewAI, AutoGen, or similar.Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, orConfluence using REST APIs, webhooks, and adapters.Implement observability and logging best practices for model outputs, latency, and agentperformance metrics.Contribute to building self-healing mechanisms and alerting strategies for production-gradeAI workflows.Required Qualifications 36 years of experience in software engineering, DevOps, or ML Ops with exposure toAI/LLM workflows.Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc.Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.).Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc.Familiarity with scripting (Python), RESTful APIs, and basic system debugging.Strong analytical skills and the ability to trace issues across multi-step pipelines andasynchronous agents. Good-To-HaveGleanDevRevCodiumCursorAtlassian AIDatabricks Mosaic AI

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Assist PTS Team with business and market analytics for direct customer bids / RFQs by performing strategic pricing analysis and overall profitability analysis of the business opportunity Reports to analyse BU Pricing Contracts with Direct, Distribution or Subcontractors Perform Pre-Bid analysis and consolidate data for the evaluation of RFQs and proposals Assist with pricing and quotation procedure changes and improvements Interact regularly with Pricing, Sales, Product Management Regular, monthly, or quarterly agreement review and make pricing decisions Support Pricing Team with Ad hoc pricing analytics to improve margins Develop reports as required on Pricing KPIs for PTS BUs Ensure Backup plan and documentation are in place Identify the area of improvement and eliminate waste in routine tasks Participate actively in team goals and support teamwork Drive and support on projects to Win Business What your background should look like: Master of business - Finance, Marketing 3 to 6 Years of applicable experience Excellent communication skills Strong PC abilitiesexpert Microsoft Office and a working knowledge of database and advance excel applications is required Experience with SAP and Advanced Pricing Software is also a plus point Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organization (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organization and the industry. Key Responsibilities: Design, develop and maintain scalable and efficient data modelling components within a distributed data platform. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications and solutions. Implement best practices in software development, including code reviews, unit testing and continuous integration / continuous deployment (CI/CD) processes. Troubleshoot and resolve software defects and performance issues in a timely manner. Participate sprint planning, daily stand-ups, user demos and retrospectives to ensure alignment and progress within the team. Mentor junior developers and contribute to their professional growth through knowledge sharing and code reviews. Stay updated with emerging technologies and industry trends to continuously improve our software solutions quality and performance. Document technical designs, processes and workflows to facilitate knowledge transfer and maintain project transparency. Engage with stakeholders to communicate project status, challenges and solutions, ensuring alignment with business outcomes. Contribute to the overall architecture and design of the TeraHelix ecosystem, ensuring scalability, reliability and security. What were looking for: Bachelors degree or higher in Computer Science or a related field. 6+ years of hands-on experience in software development, particularly with Java (21+ preferred) and associated toolchains. Proficiency in SQL (any variant) and big data technologies, with experience in operating commonly used databases such as PostgreSQL, HBase, or Trino. Knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Familiarity with Linux operating systems, including command-line tools and utilities. Experience with version control systems such as Git, GitHub, Bitbucket or Azure DevOps. Knowledge of Object-Orientated Programming (OOP) design patterns, Test-Driven Development (TDD) and enterprise system design principles. Strong problem-solving and debugging skills. Commitment to software craftsmanship and Agile principles. Effective communication skills for technical concepts. Adaptability and eagerness to learn new technologies. Interest in emerging tools and frameworks. Nice to have: Experience with the Vaadin UI framework. Experience with Big data processing engines, Avro and Distributed streaming platform. Familiarity with DevOps practices and automation tools. Knowledge of Container orchestration systems. Cloud experience across AWS, Azure, GCP or Oracle Cloud. Experience with C# and .NET Core. Familiarity with Python, R, Ruby or JavaScript, especially in the GraalVM. Interest in financial markets and business development. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Big Data, Python or R Good to have skills:Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional and Technical Skills 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

We are seeking experienced Data Analysts / Data Engineers with strong expertise in U.S. pharmaceutical commercial datasets to support critical Data Operations initiatives. This role will be focused on onboarding third-party data, ensuring data quality , and implementing outlier detection techniques . Familiarity with ML/A I approaches for anomaly detection is highly desirable. Key Responsibilities: Pharma Data Integration: Work extensively with U.S. pharmaceutical commercial datasets. Ingest and onboard third-party data sources such as IQVIA, Symphony Health, Komodo Health etc. Ensure alignment of data schemas, dictionary mapping, and metadata integrity. Data Quality & Governance: Design and implement QC protocols for data integrity and completeness. Track data lineage and maintain proper documentation of data flow and transformations. Outlier Detection & Analytics: Apply statistical or algorithmic techniques to identify anomalies in data related to sales, claims, or patient-level records. Utilize ML/AI tools (if applicable) for automated outlier detection and trend analysis. Collaboration & Reporting: Work cross-functionally with business teams, data scientists, and IT to ensure timely delivery of reliable data. Provide detailed reports and insights for stakeholders to support commercial decision-making. Required Skills & Qualifications: 3+ years of experience in Pharmaceutical Data Operations , preferably with U.S. market data. Strong hands-on experience with third-party commercial healthcare data sources (IQVIA, Symphony, Komodo, etc.). Solid understanding of ETL pipelines, data ingestion frameworks, and metadata management . Proficient in SQL, Python, or R for data processing and quality checks. Experience in outlier detection techniques both statistical (Z-score, IQR, etc.) and ML-based (Isolation Forest, Autoencoders, etc.). Familiarity with Snowflake, Databricks, AWS, or similar cloud platforms is a plus. Excellent problem-solving, documentation, and communication skills

Eurofins Advinus is a premier preclinical and early development CRO offering drug discovery, preclinical and development stage contract research services in the areas of discovery services, regulatory Toxicology (Safety Assessment), DMPK, Analytical R&D Services and API CDMO. Eurofins Advinus manufactures drug substances to support Toxicology and early clinical studies. Job description: Leadership role to manage team size of 10+ scientists (Ph.D. and M.Sc.) Extensive knowledge in E&L Extractable and Leachable experience in CCS as per USP monograph and medical devices as per ISO guidelines Managing multiple instruments (LC-MSMS, GC-MSMS, ICP-MS, IC etc.) Method development experience in LC-MSMS, GC-MSMS and ICPMS instrument Preparation and Implementation of SOP"™s related to E& L , general laboratory processes and best guidance. Good knowledge of 21 CFR part 11, Data Integrity principals, good documentation practices in cGMP lab Monitor and management of day-to-day laboratory activities Extensive knowledge of preparation, reviewing and approval capability for standard operating procedure (SOP) and COA Sound knowledge of structural elucidation and interpretation using analytical techniques such as NMR, IR, HPLC, GC, LC-MS etc. Resolving the team conflicts and provide training to the team for development and empowers team members Provide scientific and leadership direction to team members Good knowledge of laboratory safety and be a strong promoter of SHE activities in the lab. Skills Required: For M.Sc, 16-18 years of Discovery Analytical R&D experience and for PhD, 14-16 years of experience in CRO environment Excellent technical, problem-solving, writing, influencing and communication skills Strong leadership with excellent interpersonal skills, proven success of analytical projects and managing cross functional teams Demonstrative communication skills and confident in conveying information to internal/ external customers Skill for resolving the team conflicts and provide training to the team for development and empowers team members Behavioral Competencies: Excellent oral / written communication skills and flexibility to work in a dynamic environment Excellent in Knowledge sharing at all levels Qualifications Qualification M.Sc./PhD/Postdoc Additional Information Specialization Analytical Chemistry /Organic Chemistry, Department E&L Experience (years) 16 - 20

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Master"™s degree in a science-related field with 0-2 years of experience in Bio/Pharmaceutical Chemistry drug product/substance testing with knowledge of regulatory requirements. Theoretical / Practical experience with analytical techniques such as Ligand binding assays, ELISA, RIA, etc. Knowledge of USP/EP compendia, and laboratory software applications such as LIMS, Electronic Notebook is preferred..

Eurofins Advinus is a premier preclinical and early development CRO offering drug discovery, preclinical and development stage contract research services in the areas of discovery services, regulatory Toxicology (Safety Assessment), DMPK, Analytical R&D Services and API CDMO. Eurofins Advinus manufactures drug substances to support Toxicology and early clinical studies. Job description: Planning/performing and reporting of acute toxicology studies Assist in preparation of SOP"™s, Protocols and Reports Participate in GLP / AAALAC related activities Literature search Maintenance of animal house and relevant documents as per GLP and AAALAC norms. To Assist and work along with SD and TC in Planning, initiation and conduct studies. Test item administration, dose formulation preparation and blood collection. Assistance in data collection, compilation and verification. Participate in GLP inspections and ensure relevant regulatory compliance guidelines. Support in interpretation and reporting of study data. Assist in report preparation and coordination of activities. Assist in archiving of all study related materials. Skills Required: Understanding of the agrochemical and pharmaceutical R&D process Behavioral Competencies: Good in oral / written communication skills. If you're interested in applying or learning more, send your updated resume to [email protected] with the subject line "Research Scientist/Senior Research Scientist - Acute "“ Toxicology - Bangalore". Qualifications Qualification M.Sc. in Zoology/Biosciences Additional Information Specialization Toxicology Department Acute "“ Toxicology Experience (years) 2 to 8 only

Eurofins Scientific is an international life sciences company that provides a wide range of analytical testing services to clients across multiple industries. From food and pharmaceuticals to environmental and cosmetic products, Eurofins ensures safety, authenticity, and accuracy. With a global presence and over 900 laboratories, Eurofins is a leader in food, environmental, pharmaceutical and cosmetic product testing, as well as in genomics, clinical studies support, and other specialized diagnostic testing. Position Summary: Ensuring that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Essential Duties and Responsibilities Applies GMP/GLP in all areas of responsibility, as appropriate Demonstrate and promote the company vision Regular attendance and punctuality Read and understand analytical procedures Review documentation, generated data, calculated results, and final reports according to departmental, corporate, and client SOPs Gain a technical understanding of the techniques in which review is being performed Use MS Windows applications such as EXCEL, Word, Access, Outlook email Conducts all activities in a safe and efficient manner Performs other duties as assigned Qualifications Education/Experience (BMQ): Master"™s degree in a pharma / science-related field with 2-6 years of experience in Bio/Pharmaceutical or Medical Device Analysis testing with knowledge of regulatory requirements. Experience with chromatography and mass spectrometry analytical techniques (HPLC, GC, LC/MS, GC/MS) knowledge of USP/EP compendia, and laboratory software applications such as Waters Empower software, LIMS, Electronic Notebook is preferred. Additional Preferences: Experience with Agilent MassHunter software Experience with extractables and leachables testing Additional Information Key Candidate Attributes: Self-motivation; excellent quality of work and attention to detail Ability to communicate effectively with coworkers and internal/external clients Ability to learn new tasks quickly and to move easily from task to task Ability to handle prioritization and multiple tasks simultaneously Ability to use a personal computer and learn necessary programs Good communication skills (oral and written) Organizational ability and good judgement Science background/education and/or laboratory experience Strong Math Skills Logical Thinking, Good Reasoning Ability Motivation to excel Coaching/mentoring of peers